Lubricant quality control: A chemometric approach to assess wear engine in heavy machines

Autores
Lara, Rodolfo Francisco; Azcarate, Silvana Mariela; Cantarelli, Miguel Angel; Orozco, Ivana Marcela; Caroprese, María Eugenia; Savio, Marianela; Camiña, José Manuel
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Used lubricants assessment could be suitable to reveal wear mechanisms undergoing in a machine. In the proposed work an effective, reliable and cost-efficient technique combining inductively coupled plasma optical emission spectrometry (ICP-OES) and chemometrics was developed to perform wear analysis for industrial application. Thus, multielemental determination of a large amount of used lubricants from diesel heavy machines (truck, bulldozer, loaders and backhoe) was carried out by ICP-OES. Multivariate analysis was done by the non supervised method principal component analysis (PCA) and supervised method sequential discriminant analysis (SDA). The recognition ability for the groups was highly satisfactory. For PCA, the main three principal components explained 99.98% of total variance for samples lubricants. SDA allowed, in training and prediction sets, a correct classification of 97.12% and 95.75% respectively for the lubricant analyzed samples, obtaining three groups classified according to the use. The outcomes demonstrate that lubricant wear effect could be assessed quickly and accurately, having great potential to become a very useful tool in the machine monitoring industry.
Fil: Lara, Rodolfo Francisco. Universidad Nacional de San Juan. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Azcarate, Silvana Mariela. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra y Ambientales de La Pampa. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Instituto de Ciencias de la Tierra y Ambientales de La Pampa; Argentina
Fil: Cantarelli, Miguel Angel. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra y Ambientales de La Pampa. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Instituto de Ciencias de la Tierra y Ambientales de La Pampa; Argentina
Fil: Orozco, Ivana Marcela. Universidad Nacional de San Juan. Facultad de Ingeniería; Argentina
Fil: Caroprese, María Eugenia. Universidad Nacional de San Juan. Facultad de Ingeniería; Argentina
Fil: Savio, Marianela. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra y Ambientales de La Pampa. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Instituto de Ciencias de la Tierra y Ambientales de La Pampa; Argentina
Fil: Camiña, José Manuel. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra y Ambientales de La Pampa. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Instituto de Ciencias de la Tierra y Ambientales de La Pampa; Argentina
Materia
Wear Metals
Lubricant Oils
Machine Monitoring
Chemometrics Techniques
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/19242
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Lubricant quality control: A chemometric approach to assess wear engine in heavy machinesLara, Rodolfo FranciscoAzcarate, Silvana MarielaCantarelli, Miguel AngelOrozco, Ivana MarcelaCaroprese, María EugeniaSavio, MarianelaCamiña, José ManuelWear MetalsLubricant OilsMachine MonitoringChemometrics Techniqueshttps://purl.org/becyt/ford/2.3https://purl.org/becyt/ford/2https://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1Used lubricants assessment could be suitable to reveal wear mechanisms undergoing in a machine. In the proposed work an effective, reliable and cost-efficient technique combining inductively coupled plasma optical emission spectrometry (ICP-OES) and chemometrics was developed to perform wear analysis for industrial application. Thus, multielemental determination of a large amount of used lubricants from diesel heavy machines (truck, bulldozer, loaders and backhoe) was carried out by ICP-OES. Multivariate analysis was done by the non supervised method principal component analysis (PCA) and supervised method sequential discriminant analysis (SDA). The recognition ability for the groups was highly satisfactory. For PCA, the main three principal components explained 99.98% of total variance for samples lubricants. SDA allowed, in training and prediction sets, a correct classification of 97.12% and 95.75% respectively for the lubricant analyzed samples, obtaining three groups classified according to the use. The outcomes demonstrate that lubricant wear effect could be assessed quickly and accurately, having great potential to become a very useful tool in the machine monitoring industry.Fil: Lara, Rodolfo Francisco. Universidad Nacional de San Juan. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Azcarate, Silvana Mariela. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra y Ambientales de La Pampa. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Instituto de Ciencias de la Tierra y Ambientales de La Pampa; ArgentinaFil: Cantarelli, Miguel Angel. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra y Ambientales de La Pampa. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Instituto de Ciencias de la Tierra y Ambientales de La Pampa; ArgentinaFil: Orozco, Ivana Marcela. Universidad Nacional de San Juan. Facultad de Ingeniería; ArgentinaFil: Caroprese, María Eugenia. Universidad Nacional de San Juan. Facultad de Ingeniería; ArgentinaFil: Savio, Marianela. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra y Ambientales de La Pampa. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Instituto de Ciencias de la Tierra y Ambientales de La Pampa; ArgentinaFil: Camiña, José Manuel. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra y Ambientales de La Pampa. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Instituto de Ciencias de la Tierra y Ambientales de La Pampa; ArgentinaElsevier2015-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/19242Lara, Rodolfo Francisco; Azcarate, Silvana Mariela; Cantarelli, Miguel Angel; Orozco, Ivana Marcela; Caroprese, María Eugenia; et al.; Lubricant quality control: A chemometric approach to assess wear engine in heavy machines; Elsevier; Tribology International; 86; 6-2015; 36-410301-679XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0301679X15000195info:eu-repo/semantics/altIdentifier/doi/10.1016/j.triboint.2015.01.009info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:30:26Zoai:ri.conicet.gov.ar:11336/19242instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:30:27.162CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Lubricant quality control: A chemometric approach to assess wear engine in heavy machines
title Lubricant quality control: A chemometric approach to assess wear engine in heavy machines
spellingShingle Lubricant quality control: A chemometric approach to assess wear engine in heavy machines
Lara, Rodolfo Francisco
Wear Metals
Lubricant Oils
Machine Monitoring
Chemometrics Techniques
title_short Lubricant quality control: A chemometric approach to assess wear engine in heavy machines
title_full Lubricant quality control: A chemometric approach to assess wear engine in heavy machines
title_fullStr Lubricant quality control: A chemometric approach to assess wear engine in heavy machines
title_full_unstemmed Lubricant quality control: A chemometric approach to assess wear engine in heavy machines
title_sort Lubricant quality control: A chemometric approach to assess wear engine in heavy machines
dc.creator.none.fl_str_mv Lara, Rodolfo Francisco
Azcarate, Silvana Mariela
Cantarelli, Miguel Angel
Orozco, Ivana Marcela
Caroprese, María Eugenia
Savio, Marianela
Camiña, José Manuel
author Lara, Rodolfo Francisco
author_facet Lara, Rodolfo Francisco
Azcarate, Silvana Mariela
Cantarelli, Miguel Angel
Orozco, Ivana Marcela
Caroprese, María Eugenia
Savio, Marianela
Camiña, José Manuel
author_role author
author2 Azcarate, Silvana Mariela
Cantarelli, Miguel Angel
Orozco, Ivana Marcela
Caroprese, María Eugenia
Savio, Marianela
Camiña, José Manuel
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Wear Metals
Lubricant Oils
Machine Monitoring
Chemometrics Techniques
topic Wear Metals
Lubricant Oils
Machine Monitoring
Chemometrics Techniques
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.3
https://purl.org/becyt/ford/2
https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Used lubricants assessment could be suitable to reveal wear mechanisms undergoing in a machine. In the proposed work an effective, reliable and cost-efficient technique combining inductively coupled plasma optical emission spectrometry (ICP-OES) and chemometrics was developed to perform wear analysis for industrial application. Thus, multielemental determination of a large amount of used lubricants from diesel heavy machines (truck, bulldozer, loaders and backhoe) was carried out by ICP-OES. Multivariate analysis was done by the non supervised method principal component analysis (PCA) and supervised method sequential discriminant analysis (SDA). The recognition ability for the groups was highly satisfactory. For PCA, the main three principal components explained 99.98% of total variance for samples lubricants. SDA allowed, in training and prediction sets, a correct classification of 97.12% and 95.75% respectively for the lubricant analyzed samples, obtaining three groups classified according to the use. The outcomes demonstrate that lubricant wear effect could be assessed quickly and accurately, having great potential to become a very useful tool in the machine monitoring industry.
Fil: Lara, Rodolfo Francisco. Universidad Nacional de San Juan. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Azcarate, Silvana Mariela. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra y Ambientales de La Pampa. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Instituto de Ciencias de la Tierra y Ambientales de La Pampa; Argentina
Fil: Cantarelli, Miguel Angel. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra y Ambientales de La Pampa. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Instituto de Ciencias de la Tierra y Ambientales de La Pampa; Argentina
Fil: Orozco, Ivana Marcela. Universidad Nacional de San Juan. Facultad de Ingeniería; Argentina
Fil: Caroprese, María Eugenia. Universidad Nacional de San Juan. Facultad de Ingeniería; Argentina
Fil: Savio, Marianela. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra y Ambientales de La Pampa. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Instituto de Ciencias de la Tierra y Ambientales de La Pampa; Argentina
Fil: Camiña, José Manuel. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra y Ambientales de La Pampa. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Instituto de Ciencias de la Tierra y Ambientales de La Pampa; Argentina
description Used lubricants assessment could be suitable to reveal wear mechanisms undergoing in a machine. In the proposed work an effective, reliable and cost-efficient technique combining inductively coupled plasma optical emission spectrometry (ICP-OES) and chemometrics was developed to perform wear analysis for industrial application. Thus, multielemental determination of a large amount of used lubricants from diesel heavy machines (truck, bulldozer, loaders and backhoe) was carried out by ICP-OES. Multivariate analysis was done by the non supervised method principal component analysis (PCA) and supervised method sequential discriminant analysis (SDA). The recognition ability for the groups was highly satisfactory. For PCA, the main three principal components explained 99.98% of total variance for samples lubricants. SDA allowed, in training and prediction sets, a correct classification of 97.12% and 95.75% respectively for the lubricant analyzed samples, obtaining three groups classified according to the use. The outcomes demonstrate that lubricant wear effect could be assessed quickly and accurately, having great potential to become a very useful tool in the machine monitoring industry.
publishDate 2015
dc.date.none.fl_str_mv 2015-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/19242
Lara, Rodolfo Francisco; Azcarate, Silvana Mariela; Cantarelli, Miguel Angel; Orozco, Ivana Marcela; Caroprese, María Eugenia; et al.; Lubricant quality control: A chemometric approach to assess wear engine in heavy machines; Elsevier; Tribology International; 86; 6-2015; 36-41
0301-679X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/19242
identifier_str_mv Lara, Rodolfo Francisco; Azcarate, Silvana Mariela; Cantarelli, Miguel Angel; Orozco, Ivana Marcela; Caroprese, María Eugenia; et al.; Lubricant quality control: A chemometric approach to assess wear engine in heavy machines; Elsevier; Tribology International; 86; 6-2015; 36-41
0301-679X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0301679X15000195
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.triboint.2015.01.009
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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